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Build and maintain incident management and observability tooling for a global ad-tech platform, including alerting, logging, and developer portals.
Build and optimize internal developer platforms and distributed systems to improve engineering productivity, reliability, and scalability for a global ad-tech platform.
Builds and operates AI-powered backend systems and Kubernetes infrastructure at Rubrik to enable enterprise AI adoption, focusing on distributed services, cloud-native tools, and cross-team collaboration.
Lead the reliability and scalability of Rubrik's enterprise SaaS and AI infrastructure, setting technical standards and resolving complex distributed systems challenges while mentoring teams and driving automation.
Build and operate the cloud infrastructure and Kubernetes platform powering VenturaOS, a Smart TV operating system, including compute, networking, identity, GPU/ML-serving, and end-to-end telemetry for a global adtech company.
Senior engineer building Together AI's AI Acceleration Cloud in Amsterdam (hybrid, 2 days/week on-site): backend services and operators that virtualize ML hardware (GB200 GPUs, BlueField DPUs), automate data-center networking/storage, and power self-serve Kubernetes and Slurm clusters. Core stack: Go, Kubernetes, Terraform, Prometheus, AWS/GCP/Azure.
Together AI is seeking a Senior Software Engineer to build and maintain AI agent systems that automate the operation and diagnosis of their large-scale GPU infrastructure. The role involves developing distributed services, knowledge graphs, and retrieval systems to enable autonomous infrastructure management.
Platform engineer bridging tactical radar software developers and DevSecOps at a defense tech company: builds secure CI/CD pipelines, Infrastructure-as-Code (Terraform/Ansible), Docker/Kubernetes deployments, monitoring, and automated STIG/NIST 800-53 compliance workflows for deploying radar tracking systems in classified DoD environments.
Builds and maintains secure CI/CD pipelines, Infrastructure-as-Code, and containerized developer tooling for Anduril's Air & Missile Defense Radar team, enabling rapid deployment of radar tracking software while meeting DoD/IC security compliance (STIGs, NIST 800-53). Core stack: Python, C++, Terraform/Ansible, Docker, Kubernetes.
Build and maintain the cloud infrastructure that powers SambaNova’s AI inferencing service, ensuring high availability, low latency, and scalable performance across regions.
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
Designs and maintains high-performance InfiniBand fabrics for AI GPU clusters using NVIDIA UFM, Quantum switches, and automation tools.
Build and maintain scalable, resilient infrastructure for a data platform serving hardware engineering teams, using cloud and on-premise systems with modern DevOps tools.
Build and maintain scalable cloud and on-premise infrastructure for a data platform serving hardware engineering teams, using Kubernetes, AWS/Azure/GCP, and Go/Java.
Remote (within Spain) MLOps engineer with 5+ years of experience who builds and productizes AI capabilities — from RAG pipelines to model serving — as scalable, governed, developer-oriented services. Core stack includes Databricks MLflow, enterprise CI/CD, IaC (Terraform/Crossplane) on Azure/AWS, and tools like ArgoCD, Istio, Prometheus, and Grafana.
Senior Site Reliability Engineer at an aerospace startup in San Jose designing, building, and operating cloud-native infrastructure for an all-electric aircraft, focusing on Kubernetes, observability, and automation.
A contractor role designing, architecting, and supporting scalable, secure cloud infrastructure on Google Cloud Platform. Day to day involves building Kubernetes environments, CI/CD pipelines, Terraform-based IaC, ETL workflows, and observability with Grafana and Prometheus.
Site Reliability Engineer at Todyl, a cybersecurity platform for SMBs delivered through MSPs. The role builds self-service tooling and platform capabilities on Kubernetes and AWS — CI/CD, infrastructure-as-code, observability, secrets management — while automating toil, embedding security, and sharing in a weekly on-call rotation.
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